2022
DOI: 10.1093/bjc/azab116
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The Network of Online Stolen Data Markets: How Vendor Flows Connect Digital Marketplaces

Abstract: In the face of market uncertainty, illicit actors on the darkweb mitigate risk by displacing their operations across digital marketplaces. In this study, we reconstruct market networks created by vendor displacement to examine how digital marketplaces are connected on the darkweb and identify the properties that drive vendor flows before and after a law enforcement disruption. Findings show that vendors’ movement across digital marketplaces creates a highly connected ecosystem; nearly all markets are directly … Show more

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Cited by 10 publications
(18 citation statements)
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“…Finally, although we are far from the first to examine illegal transactions on darknet markets (e.g., Howell et al, 2022; Ouellet et al, 2022), our article adds to the literature by examining these markets using novel and unique data. We are able to expand the understanding of criminologists by specifically considering heuristics within financial transactions.…”
Section: Discussionmentioning
confidence: 99%
“…Finally, although we are far from the first to examine illegal transactions on darknet markets (e.g., Howell et al, 2022; Ouellet et al, 2022), our article adds to the literature by examining these markets using novel and unique data. We are able to expand the understanding of criminologists by specifically considering heuristics within financial transactions.…”
Section: Discussionmentioning
confidence: 99%
“…As the number of darknet markets has multiplied and scholastic inquiry has followed suit (Van Buskirk et al, 2017;Ladegaard, 2019Ladegaard, , 2020Norbutas et al, 2020;Soska & Christin, 2015) these studies have shed light on product (Duxbury & Haynie, 2018;Martin et al, 2018), vendor (Copeland et al, 2020;Jeziorowski et al, 2020), and market characteristics (Ball & Broadhurst, 2021;Cherqi et al, 2018;Roddy & Holt, 2022); however, less research has focused on the ecosystem in which these markets operate (cf. Broséus et al, 2016;Ouellet et al, 2022).…”
Section: Literature Reviewmentioning
confidence: 99%
“…This sample of markets contained all (identifiable) English-language digital markets that advertised online stolen data. Guided by Ouellet et al (2022), stolen data products are defined here as fraudulent documents (e.g., drivers' licenses, passports), financial items (e.g., bank accounts, credit cards), counterfeit currencies, services to steal data (e.g., account crackers, injectors), and tutorials or guides related to any of the preceding categories.…”
Section: Data Collectionmentioning
confidence: 99%
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